Multi-Role collaborative framework for structural damage identification considering measurement noise effect

•A novel Multi-Role Collaborative Framework is proposed to enhance evolutionary algorithms.•Two population-based updating mechanisms are adaptively and efficiently switched;•Structural damage on the Guangzhou New TV Tower is accurately identified using limited data and evaluation iterations;•Multipl...

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Vydané v:	Measurement : journal of the International Measurement Confederation Ročník 250; s. 117106
Hlavní autori:	Chen, Zepeng, Zhang, Zhiyu, Chen, Xiangmei, Hou, Rongrong, Ding, Zhenghao, Liu, Feng, Yang, Zhicheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.06.2025
Predmet:	Multi-role collaborative framework Noise effect Seagull optimization algorithm Sine cosine algorithm Sparse regularization Seagull optimization algorithm Sine cosine algorithm Sparse regularization Multi-role collaborative framework Noise effect
ISSN:	0263-2241
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